Affiliation:
1. School of Computer Sciences, Universiti Sains Malaysia, Malaysia
Abstract
Descriptions of love can be found in a wide range of literature. The meaning of love that a reader grasps from reading a literary work is mostly the result of self-understanding and is very likely different from the one that the author tried to express. Therefore, it is interesting to explore what love is from the authors' perspective to help readers have a deeper understanding of the meaning of love written by the author. The goal of this study is to build a text analysis framework to identify common words or phrases describing love in romance literature. The proposed analysis is divided into three types, namely 1) text classification and sentiment analysis, 2) key phrase extraction, and 3) topic modeling. The evaluation is performed on 10 romance books. The results of each analysis method are measured using performance metrics as well as presented using visuals like word cloud and histogram.
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